This is the Windows app named Weaviate whose latest release can be downloaded as weaviate-v1.21.7-windows-amd64.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Weaviate with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
Weaviate
DESCRIPTION
Weaviate in a nutshell: Weaviate is a vector search engine and vector database. Weaviate uses machine learning to vectorize and store data, and to find answers to natural language queries. With Weaviate you can also bring your custom ML models to production scale. Weaviate in detail: Weaviate is a low-latency vector search engine with out-of-the-box support for different media types (text, images, etc.). It offers Semantic Search, Question-Answer-Extraction, Classification, Customizable Models (PyTorch/TensorFlow/Keras), and more. Built from scratch in Go, Weaviate stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance of a cloud-native database, all accessible through GraphQL, REST, and various language clients.
Features
- Out-of-the-box modules for: NLP/semantic search, automatic classification and image similarity search
- Easy to integrate into your current architecture, with full CRUD support like you're used to from other OSS databases
- Cloud-native, distributed, runs well on Kubernetes and scales with your workloads
- Weaviate has a modular setup that allows you to use your ML models inside Weaviate, but you can also use out-of-the-box ML models (e.g., SBERT, ResNet, fasttext, etc)
- Weaviate takes care of the scalability, so that you don't have toDeploy and maintain ML models in production reliably and efficiently
Programming Language
Go
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/weaviate.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
